Description
This pretrained pipeline is built on the top of ner_chemprot_biobert model.
Predicted Entities
GENE-N, CHEMICAL, GENE-Y
How to use
pipeline = PretrainedPipeline("ner_chemprot_biobert_pipeline", "en", "clinical/models")
pipeline.annotate("Keratinocyte growth factor and acidic fibroblast growth factor are mitogens for primary cultures of mammary epithelium.")
val pipeline = new PretrainedPipeline("ner_chemprot_biobert_pipeline", "en", "clinical/models")
pipeline.annotate("Keratinocyte growth factor and acidic fibroblast growth factor are mitogens for primary cultures of mammary epithelium.")
import nlu
nlu.load("en.med_ner.chemprot_biobert.pipeline").predict("""Keratinocyte growth factor and acidic fibroblast growth factor are mitogens for primary cultures of mammary epithelium.""")
Results
+-------------------------------+--------+
|chunks |entities|
+-------------------------------+--------+
|Keratinocyte growth factor |GENE-Y |
|acidic fibroblast growth factor|GENE-Y |
+-------------------------------+--------+
Model Information
| Model Name: | ner_chemprot_biobert_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 3.4.1+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 422.0 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- BertEmbeddings
- MedicalNerModel
- NerConverter